##
## ## AGE vs SEX
##
## ## AGE vs INF_ANAM
##
## ## AGE vs STENOK_AN
##
## ## AGE vs GB
##
## ## AGE vs SIM_GIPERT
##
## ## AGE vs ZSN_A
##
## ## AGE vs endocr_01
##
## ## AGE vs S_AD_ORIT
##
## Pearson's product-moment correlation
##
## data: x and y
## t = 1.6558, df = 1425, p-value = 0.09798
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.008089595 0.095496220
## sample estimates:
## cor
## 0.04382109
##
##
## ## AGE vs D_AD_ORIT
##
## Pearson's product-moment correlation
##
## data: x and y
## t = -1.8705, df = 1425, p-value = 0.06162
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.10112183 0.00240924
## sample estimates:
## cor
## -0.04948924
##
##
## ## AGE vs K_BLOOD
##
## Pearson's product-moment correlation
##
## data: x and y
## t = -0.10899, df = 1321, p-value = 0.9132
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.05688347 0.05090349
## sample estimates:
## cor
## -0.002998702
##
##
## ## AGE vs NA_BLOOD
##
## Pearson's product-moment correlation
##
## data: x and y
## t = 1.1306, df = 1317, p-value = 0.2584
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.02287546 0.08497147
## sample estimates:
## cor
## 0.03113863
##
##
## ## AGE vs L_BLOOD
##
## Pearson's product-moment correlation
##
## data: x and y
## t = 0.12347, df = 1566, p-value = 0.9017
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.04639046 0.05261555
## sample estimates:
## cor
## 0.00312019
##
##
## ## AGE vs ROE
##
## Pearson's product-moment correlation
##
## data: x and y
## t = 8.467, df = 1488, p-value < 2.2e-16
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## 0.1654106 0.2623198
## sample estimates:
## cor
## 0.2143928
##
##
## ## AGE vs COM_SUM
## Warning in cor.test.default(x, y, method = "spearman"): Cannot compute exact
## p-value with ties
##
## Spearman's rank correlation rho
##
## data: x and y
## S = 693433553, p-value = 5.614e-09
## alternative hypothesis: true rho is not equal to 0
## sample estimates:
## rho
## 0.1410751
##
##
## ## AGE vs LET_IS
##
## ## SEX vs INF_ANAM
## y
## x zero one two >=three <NA>
## Female 409 145 61 19 1
## Male 651 265 86 60 3
## Warning in chisq.test(ttab): Chi-squared approximation may be incorrect
##
## Pearson's Chi-squared test
##
## data: ttab
## X-squared = 8.6926, df = 4, p-value = 0.06926
##
##
## ## SEX vs STENOK_AN
## y
## x never last year one year ago two years ago three years ago
## Female 209 53 53 45 28
## Male 452 93 84 72 48
## y
## x 4-5 years ago >=5 years ago <NA>
## Female 53 143 51
## Male 72 189 55
##
## Pearson's Chi-squared test
##
## data: ttab
## X-squared = 20.777, df = 7, p-value = 0.004114
##
##
## ## SEX vs GB
## y
## x there is no EH Stage 1 Stage 2 Stage 3 <NA>
## Female 126 1 406 98 4
## Male 479 10 474 97 5
## Warning in chisq.test(ttab): Chi-squared approximation may be incorrect
##
## Pearson's Chi-squared test
##
## data: ttab
## X-squared = 117.45, df = 4, p-value < 2.2e-16
##
##
## ## SEX vs SIM_GIPERT
## y
## x no yes <NA>
## Female 601 31 3
## Male 1034 26 5
## Warning in chisq.test(ttab): Chi-squared approximation may be incorrect
##
## Pearson's Chi-squared test
##
## data: ttab
## X-squared = 7.314, df = 2, p-value = 0.02581
##
##
## ## SEX vs ZSN_A
## y
## x there is no CHF I stage IIÐ stage (HF due to R VSD)
## Female 514 51 14
## Male 954 52 13
## y
## x IIÐ stage (HF due to L VSD) IIB stage (HF due to L and R VSD) <NA>
## Female 14 13 29
## Male 15 6 25
##
## Pearson's Chi-squared test
##
## data: ttab
## X-squared = 27.854, df = 5, p-value = 3.887e-05
##
##
## ## SEX vs endocr_01
## y
## x no yes <NA>
## Female 470 158 7
## Male 991 70 4
## Warning in chisq.test(ttab): Chi-squared approximation may be incorrect
##
## Pearson's Chi-squared test
##
## data: ttab
## X-squared = 119.45, df = 2, p-value < 2.2e-16
##
##
## ## SEX vs S_AD_ORIT
##
## ## SEX vs D_AD_ORIT
##
## ## SEX vs K_BLOOD
##
## ## SEX vs NA_BLOOD
##
## ## SEX vs L_BLOOD
##
## ## SEX vs ROE
##
## ## SEX vs COM_SUM
##
## ## SEX vs LET_IS
## y
## x unknown (alive) cardiogenic shock pulmonary edema myocardial rupture
## Female 498 54 6 31
## Male 931 56 12 23
## y
## x progress of congestive HF thromboembolism asystole
## Female 17 9 11
## Male 6 3 16
## y
## x ventricular fibrillation
## Female 9
## Male 18
## Warning in chisq.test(ttab): Chi-squared approximation may be incorrect
##
## Pearson's Chi-squared test
##
## data: ttab
## X-squared = 40.433, df = 7, p-value = 1.04e-06
##
##
## ## INF_ANAM vs STENOK_AN
## y
## x never last year one year ago two years ago three years ago
## zero 555 84 52 63 40
## one 73 51 61 33 26
## two 23 10 14 17 8
## >=three 10 1 10 4 2
## <NA> 0 0 0 0 0
## y
## x 4-5 years ago >=5 years ago <NA>
## zero 51 153 62
## one 49 89 28
## two 17 51 7
## >=three 8 39 5
## <NA> 0 0 4
## Warning in chisq.test(ttab): Chi-squared approximation may be incorrect
##
## Pearson's Chi-squared test
##
## data: ttab
## X-squared = 350.64, df = 28, p-value < 2.2e-16
##
##
## ## INF_ANAM vs GB
## y
## x there is no EH Stage 1 Stage 2 Stage 3 <NA>
## zero 416 7 524 109 4
## one 131 3 217 57 2
## two 34 0 93 19 1
## >=three 22 1 46 10 0
## <NA> 2 0 0 0 2
## Warning in chisq.test(ttab): Chi-squared approximation may be incorrect
##
## Pearson's Chi-squared test
##
## data: ttab
## X-squared = 212.77, df = 16, p-value < 2.2e-16
##
##
## ## INF_ANAM vs SIM_GIPERT
## y
## x no yes <NA>
## zero 1020 37 3
## one 394 14 2
## two 144 2 1
## >=three 76 3 0
## <NA> 1 1 2
## Warning in chisq.test(ttab): Chi-squared approximation may be incorrect
##
## Pearson's Chi-squared test
##
## data: ttab
## X-squared = 219.42, df = 8, p-value < 2.2e-16
##
##
## ## INF_ANAM vs ZSN_A
## y
## x there is no CHF I stage IIÐ stage (HF due to R VSD)
## zero 949 67 9
## one 349 22 10
## two 109 12 4
## >=three 60 2 4
## <NA> 1 0 0
## y
## x IIÐ stage (HF due to L VSD) IIB stage (HF due to L and R VSD) <NA>
## zero 9 4 22
## one 5 9 15
## two 10 4 8
## >=three 5 2 6
## <NA> 0 0 3
## Warning in chisq.test(ttab): Chi-squared approximation may be incorrect
##
## Pearson's Chi-squared test
##
## data: ttab
## X-squared = 151.05, df = 20, p-value < 2.2e-16
##
##
## ## INF_ANAM vs endocr_01
## y
## x no yes <NA>
## zero 933 122 5
## one 354 54 2
## two 112 34 1
## >=three 60 18 1
## <NA> 2 0 2
## Warning in chisq.test(ttab): Chi-squared approximation may be incorrect
##
## Pearson's Chi-squared test
##
## data: ttab
## X-squared = 174.33, df = 8, p-value < 2.2e-16
##
##
## ## INF_ANAM vs S_AD_ORIT
##
## ## INF_ANAM vs D_AD_ORIT
##
## ## INF_ANAM vs K_BLOOD
##
## ## INF_ANAM vs NA_BLOOD
##
## ## INF_ANAM vs L_BLOOD
##
## ## INF_ANAM vs ROE
##
## ## INF_ANAM vs COM_SUM
##
## ## INF_ANAM vs LET_IS
## y
## x unknown (alive) cardiogenic shock pulmonary edema myocardial rupture
## zero 924 40 8 44
## one 324 48 7 8
## two 122 11 1 1
## >=three 58 9 2 1
## <NA> 1 2 0 0
## y
## x progress of congestive HF thromboembolism asystole
## zero 11 7 10
## one 7 1 10
## two 5 1 4
## >=three 0 3 2
## <NA> 0 0 1
## y
## x ventricular fibrillation
## zero 16
## one 5
## two 2
## >=three 4
## <NA> 0
## Warning in chisq.test(ttab): Chi-squared approximation may be incorrect
##
## Pearson's Chi-squared test
##
## data: ttab
## X-squared = 108.26, df = 28, p-value = 2.227e-11
##
##
## ## STENOK_AN vs GB
## y
## x there is no EH Stage 1 Stage 2 Stage 3 <NA>
## never 282 6 310 62 1
## last year 50 1 82 13 0
## one year ago 50 2 68 17 0
## two years ago 43 0 63 11 0
## three years ago 22 0 46 8 0
## 4-5 years ago 33 1 71 19 1
## >=5 years ago 93 1 189 48 1
## <NA> 32 0 51 17 6
## Warning in chisq.test(ttab): Chi-squared approximation may be incorrect
##
## Pearson's Chi-squared test
##
## data: ttab
## X-squared = 99.276, df = 28, p-value = 6.633e-10
##
##
## ## STENOK_AN vs SIM_GIPERT
## y
## x no yes <NA>
## never 638 22 1
## last year 139 7 0
## one year ago 132 5 0
## two years ago 111 6 0
## three years ago 74 2 0
## 4-5 years ago 119 5 1
## >=5 years ago 324 7 1
## <NA> 98 3 5
## Warning in chisq.test(ttab): Chi-squared approximation may be incorrect
##
## Pearson's Chi-squared test
##
## data: ttab
## X-squared = 49.004, df = 14, p-value = 8.955e-06
##
##
## ## STENOK_AN vs ZSN_A
## y
## x there is no CHF I stage IIÐ stage (HF due to R VSD)
## never 601 47 3
## last year 126 14 2
## one year ago 122 5 0
## two years ago 92 10 2
## three years ago 68 4 2
## 4-5 years ago 104 4 8
## >=5 years ago 277 17 9
## <NA> 78 2 1
## y
## x IIÐ stage (HF due to L VSD) IIB stage (HF due to L and R VSD)
## never 1 3
## last year 2 1
## one year ago 4 2
## two years ago 5 5
## three years ago 1 0
## 4-5 years ago 4 2
## >=5 years ago 9 4
## <NA> 3 2
## y
## x <NA>
## never 6
## last year 1
## one year ago 4
## two years ago 3
## three years ago 1
## 4-5 years ago 3
## >=5 years ago 16
## <NA> 20
## Warning in chisq.test(ttab): Chi-squared approximation may be incorrect
##
## Pearson's Chi-squared test
##
## data: ttab
## X-squared = 180.85, df = 35, p-value < 2.2e-16
##
##
## ## STENOK_AN vs endocr_01
## y
## x no yes <NA>
## never 595 61 5
## last year 127 19 0
## one year ago 114 23 0
## two years ago 93 24 0
## three years ago 67 9 0
## 4-5 years ago 105 20 0
## >=5 years ago 269 61 2
## <NA> 91 11 4
## Warning in chisq.test(ttab): Chi-squared approximation may be incorrect
##
## Pearson's Chi-squared test
##
## data: ttab
## X-squared = 44.84, df = 14, p-value = 4.331e-05
##
##
## ## STENOK_AN vs S_AD_ORIT
##
## ## STENOK_AN vs D_AD_ORIT
##
## ## STENOK_AN vs K_BLOOD
##
## ## STENOK_AN vs NA_BLOOD
##
## ## STENOK_AN vs L_BLOOD
##
## ## STENOK_AN vs ROE
##
## ## STENOK_AN vs COM_SUM
##
## ## STENOK_AN vs LET_IS
## y
## x unknown (alive) cardiogenic shock pulmonary edema
## never 599 15 2
## last year 130 6 1
## one year ago 125 8 0
## two years ago 91 12 2
## three years ago 65 2 1
## 4-5 years ago 96 12 6
## >=5 years ago 255 32 4
## <NA> 68 23 2
## y
## x myocardial rupture progress of congestive HF thromboembolism
## never 21 5 4
## last year 1 4 0
## one year ago 3 1 0
## two years ago 1 4 2
## three years ago 6 1 0
## 4-5 years ago 5 1 1
## >=5 years ago 13 5 5
## <NA> 4 2 0
## y
## x asystole ventricular fibrillation
## never 8 7
## last year 3 1
## one year ago 0 0
## two years ago 1 4
## three years ago 1 0
## 4-5 years ago 1 3
## >=5 years ago 11 7
## <NA> 2 5
## Warning in chisq.test(ttab): Chi-squared approximation may be incorrect
##
## Pearson's Chi-squared test
##
## data: ttab
## X-squared = 158.45, df = 49, p-value = 1.846e-13
##
##
## ## GB vs SIM_GIPERT
## y
## x no yes <NA>
## there is no EH 550 55 0
## Stage 1 11 0 0
## Stage 2 879 1 0
## Stage 3 194 1 0
## <NA> 1 0 8
## Warning in chisq.test(ttab): Chi-squared approximation may be incorrect
##
## Pearson's Chi-squared test
##
## data: ttab
## X-squared = 1605.4, df = 8, p-value < 2.2e-16
##
##
## ## GB vs ZSN_A
## y
## x there is no CHF I stage IIÐ stage (HF due to R VSD)
## there is no EH 538 35 6
## Stage 1 10 0 0
## Stage 2 757 53 17
## Stage 3 161 15 3
## <NA> 2 0 1
## y
## x IIÐ stage (HF due to L VSD) IIB stage (HF due to L and R VSD)
## there is no EH 5 5
## Stage 1 1 0
## Stage 2 20 11
## Stage 3 3 3
## <NA> 0 0
## y
## x <NA>
## there is no EH 16
## Stage 1 0
## Stage 2 22
## Stage 3 10
## <NA> 6
## Warning in chisq.test(ttab): Chi-squared approximation may be incorrect
##
## Pearson's Chi-squared test
##
## data: ttab
## X-squared = 142.52, df = 20, p-value < 2.2e-16
##
##
## ## GB vs endocr_01
## y
## x no yes <NA>
## there is no EH 549 53 3
## Stage 1 11 0 0
## Stage 2 739 138 3
## Stage 3 157 36 2
## <NA> 5 1 3
## Warning in chisq.test(ttab): Chi-squared approximation may be incorrect
##
## Pearson's Chi-squared test
##
## data: ttab
## X-squared = 172.86, df = 8, p-value < 2.2e-16
##
##
## ## GB vs S_AD_ORIT
##
## ## GB vs D_AD_ORIT
##
## ## GB vs K_BLOOD
##
## ## GB vs NA_BLOOD
##
## ## GB vs L_BLOOD
##
## ## GB vs ROE
##
## ## GB vs COM_SUM
##
## ## GB vs LET_IS
## y
## x unknown (alive) cardiogenic shock pulmonary edema
## there is no EH 529 39 4
## Stage 1 10 1 0
## Stage 2 742 52 9
## Stage 3 147 15 4
## <NA> 1 3 1
## y
## x myocardial rupture progress of congestive HF thromboembolism
## there is no EH 9 6 4
## Stage 1 0 0 0
## Stage 2 31 13 4
## Stage 3 14 4 4
## <NA> 0 0 0
## y
## x asystole ventricular fibrillation
## there is no EH 5 9
## Stage 1 0 0
## Stage 2 16 13
## Stage 3 4 3
## <NA> 2 2
## Warning in chisq.test(ttab): Chi-squared approximation may be incorrect
##
## Pearson's Chi-squared test
##
## data: ttab
## X-squared = 106.12, df = 28, p-value = 5.045e-11
##
##
## ## SIM_GIPERT vs ZSN_A
## y
## x there is no CHF I stage IIÐ stage (HF due to R VSD)
## no 1416 101 26
## yes 51 2 0
## <NA> 1 0 1
## y
## x IIÐ stage (HF due to L VSD) IIB stage (HF due to L and R VSD) <NA>
## no 27 19 46
## yes 2 0 2
## <NA> 0 0 6
## Warning in chisq.test(ttab): Chi-squared approximation may be incorrect
##
## Pearson's Chi-squared test
##
## data: ttab
## X-squared = 145.79, df = 10, p-value < 2.2e-16
##
##
## ## SIM_GIPERT vs endocr_01
## y
## x no yes <NA>
## no 1416 211 8
## yes 41 16 0
## <NA> 4 1 3
## Warning in chisq.test(ttab): Chi-squared approximation may be incorrect
##
## Pearson's Chi-squared test
##
## data: ttab
## X-squared = 180.95, df = 4, p-value < 2.2e-16
##
##
## ## SIM_GIPERT vs S_AD_ORIT
##
## ## SIM_GIPERT vs D_AD_ORIT
##
## ## SIM_GIPERT vs K_BLOOD
##
## ## SIM_GIPERT vs NA_BLOOD
##
## ## SIM_GIPERT vs L_BLOOD
##
## ## SIM_GIPERT vs ROE
##
## ## SIM_GIPERT vs COM_SUM
##
## ## SIM_GIPERT vs LET_IS
## y
## x unknown (alive) cardiogenic shock pulmonary edema myocardial rupture
## no 1384 101 17 49
## yes 44 6 0 5
## <NA> 1 3 1 0
## y
## x progress of congestive HF thromboembolism asystole
## no 22 12 25
## yes 1 0 0
## <NA> 0 0 2
## y
## x ventricular fibrillation
## no 25
## yes 1
## <NA> 1
## Warning in chisq.test(ttab): Chi-squared approximation may be incorrect
##
## Pearson's Chi-squared test
##
## data: ttab
## X-squared = 70.616, df = 14, p-value = 1.493e-09
##
##
## ## ZSN_A vs endocr_01
## y
## x no yes <NA>
## there is no CHF 1282 180 6
## I stage 81 22 0
## IIÐ stage (HF due to R VSD) 20 7 0
## IIÐ stage (HF due to L VSD) 24 5 0
## IIB stage (HF due to L and R VSD) 15 4 0
## <NA> 39 10 5
## Warning in chisq.test(ttab): Chi-squared approximation may be incorrect
##
## Pearson's Chi-squared test
##
## data: ttab
## X-squared = 78.72, df = 10, p-value = 8.942e-13
##
##
## ## ZSN_A vs S_AD_ORIT
##
## ## ZSN_A vs D_AD_ORIT
##
## ## ZSN_A vs K_BLOOD
##
## ## ZSN_A vs NA_BLOOD
##
## ## ZSN_A vs L_BLOOD
##
## ## ZSN_A vs ROE
##
## ## ZSN_A vs COM_SUM
##
## ## ZSN_A vs LET_IS
## y
## x unknown (alive) cardiogenic shock
## there is no CHF 1292 76
## I stage 98 0
## IIÐ stage (HF due to R VSD) 12 6
## IIÐ stage (HF due to L VSD) 17 2
## IIB stage (HF due to L and R VSD) 6 5
## <NA> 4 21
## y
## x pulmonary edema myocardial rupture
## there is no CHF 8 43
## I stage 2 0
## IIÐ stage (HF due to R VSD) 1 2
## IIÐ stage (HF due to L VSD) 2 3
## IIB stage (HF due to L and R VSD) 2 1
## <NA> 3 5
## y
## x progress of congestive HF thromboembolism
## there is no CHF 8 5
## I stage 2 1
## IIÐ stage (HF due to R VSD) 3 1
## IIÐ stage (HF due to L VSD) 3 1
## IIB stage (HF due to L and R VSD) 2 1
## <NA> 5 3
## y
## x asystole ventricular fibrillation
## there is no CHF 19 17
## I stage 0 0
## IIÐ stage (HF due to R VSD) 0 2
## IIÐ stage (HF due to L VSD) 0 1
## IIB stage (HF due to L and R VSD) 0 2
## <NA> 8 5
## Warning in chisq.test(ttab): Chi-squared approximation may be incorrect
##
## Pearson's Chi-squared test
##
## data: ttab
## X-squared = 449.66, df = 35, p-value < 2.2e-16
##
##
## ## endocr_01 vs S_AD_ORIT
##
## ## endocr_01 vs D_AD_ORIT
##
## ## endocr_01 vs K_BLOOD
##
## ## endocr_01 vs NA_BLOOD
##
## ## endocr_01 vs L_BLOOD
##
## ## endocr_01 vs ROE
##
## ## endocr_01 vs COM_SUM
##
## ## endocr_01 vs LET_IS
## y
## x unknown (alive) cardiogenic shock pulmonary edema myocardial rupture
## no 1252 87 12 46
## yes 173 20 6 8
## <NA> 4 3 0 0
## y
## x progress of congestive HF thromboembolism asystole
## no 15 7 17
## yes 8 5 6
## <NA> 0 0 4
## y
## x ventricular fibrillation
## no 25
## yes 2
## <NA> 0
## Warning in chisq.test(ttab): Chi-squared approximation may be incorrect
##
## Pearson's Chi-squared test
##
## data: ttab
## X-squared = 127.17, df = 14, p-value < 2.2e-16
##
##
## ## S_AD_ORIT vs D_AD_ORIT
##
## Pearson's product-moment correlation
##
## data: x and y
## t = 64.115, df = 1431, p-value < 2.2e-16
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## 0.8472702 0.8740666
## sample estimates:
## cor
## 0.8612659
##
##
## ## S_AD_ORIT vs K_BLOOD
##
## Pearson's product-moment correlation
##
## data: x and y
## t = 1.0047, df = 1120, p-value = 0.3153
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.02856756 0.08837607
## sample estimates:
## cor
## 0.03000694
##
##
## ## S_AD_ORIT vs NA_BLOOD
##
## Pearson's product-moment correlation
##
## data: x and y
## t = 1.4261, df = 1115, p-value = 0.1541
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.0160260 0.1010716
## sample estimates:
## cor
## 0.04266933
##
##
## ## S_AD_ORIT vs L_BLOOD
##
## Pearson's product-moment correlation
##
## data: x and y
## t = -5.3104, df = 1331, p-value = 1.281e-07
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.19621384 -0.09105275
## sample estimates:
## cor
## -0.1440399
##
##
## ## S_AD_ORIT vs ROE
##
## Pearson's product-moment correlation
##
## data: x and y
## t = 1.4488, df = 1261, p-value = 0.1476
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.01442612 0.09571047
## sample estimates:
## cor
## 0.040766
##
##
## ## S_AD_ORIT vs COM_SUM
## Warning in cor.test.default(x, y, method = "spearman"): Cannot compute exact
## p-value with ties
##
## Spearman's rank correlation rho
##
## data: x and y
## S = 486748247, p-value = 0.7758
## alternative hypothesis: true rho is not equal to 0
## sample estimates:
## rho
## 0.007530232
##
##
## ## S_AD_ORIT vs LET_IS
##
## ## D_AD_ORIT vs K_BLOOD
##
## Pearson's product-moment correlation
##
## data: x and y
## t = 0.40042, df = 1120, p-value = 0.6889
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.04659300 0.07043897
## sample estimates:
## cor
## 0.01196395
##
##
## ## D_AD_ORIT vs NA_BLOOD
##
## Pearson's product-moment correlation
##
## data: x and y
## t = 0.69041, df = 1115, p-value = 0.4901
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.03802972 0.07923077
## sample estimates:
## cor
## 0.02067161
##
##
## ## D_AD_ORIT vs L_BLOOD
##
## Pearson's product-moment correlation
##
## data: x and y
## t = -5.7525, df = 1331, p-value = 1.09e-08
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.2077062 -0.1029211
## sample estimates:
## cor
## -0.1557518
##
##
## ## D_AD_ORIT vs ROE
##
## Pearson's product-moment correlation
##
## data: x and y
## t = 0.41154, df = 1261, p-value = 0.6807
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.04359912 0.06670548
## sample estimates:
## cor
## 0.01158843
##
##
## ## D_AD_ORIT vs COM_SUM
## Warning in cor.test.default(x, y, method = "spearman"): Cannot compute exact
## p-value with ties
##
## Spearman's rank correlation rho
##
## data: x and y
## S = 492030839, p-value = 0.9024
## alternative hypothesis: true rho is not equal to 0
## sample estimates:
## rho
## -0.003240867
##
##
## ## D_AD_ORIT vs LET_IS
##
## ## K_BLOOD vs NA_BLOOD
##
## Pearson's product-moment correlation
##
## data: x and y
## t = 11.439, df = 1319, p-value < 2.2e-16
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## 0.2505547 0.3487139
## sample estimates:
## cor
## 0.3004296
##
##
## ## K_BLOOD vs L_BLOOD
##
## Pearson's product-moment correlation
##
## data: x and y
## t = 0.44918, df = 1274, p-value = 0.6534
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.04232348 0.06741496
## sample estimates:
## cor
## 0.01258363
##
##
## ## K_BLOOD vs ROE
##
## Pearson's product-moment correlation
##
## data: x and y
## t = 0.31526, df = 1212, p-value = 0.7526
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.04723106 0.06528425
## sample estimates:
## cor
## 0.009055255
##
##
## ## K_BLOOD vs COM_SUM
## Warning in cor.test.default(x, y, method = "spearman"): Cannot compute exact
## p-value with ties
##
## Spearman's rank correlation rho
##
## data: x and y
## S = 419078415, p-value = 0.009415
## alternative hypothesis: true rho is not equal to 0
## sample estimates:
## rho
## -0.07120316
##
##
## ## K_BLOOD vs LET_IS
##
## ## NA_BLOOD vs L_BLOOD
##
## Pearson's product-moment correlation
##
## data: x and y
## t = 0.56372, df = 1270, p-value = 0.573
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.03918181 0.07071904
## sample estimates:
## cor
## 0.01581638
##
##
## ## NA_BLOOD vs ROE
##
## Pearson's product-moment correlation
##
## data: x and y
## t = -0.48099, df = 1208, p-value = 0.6306
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.07013808 0.04255082
## sample estimates:
## cor
## -0.01383757
##
##
## ## NA_BLOOD vs COM_SUM
## Warning in cor.test.default(x, y, method = "spearman"): Cannot compute exact
## p-value with ties
##
## Spearman's rank correlation rho
##
## data: x and y
## S = 391994622, p-value = 0.6871
## alternative hypothesis: true rho is not equal to 0
## sample estimates:
## rho
## -0.0110764
##
##
## ## NA_BLOOD vs LET_IS
##
## ## L_BLOOD vs ROE
##
## Pearson's product-moment correlation
##
## data: x and y
## t = 0.19954, df = 1490, p-value = 0.8419
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.04559157 0.05590372
## sample estimates:
## cor
## 0.005169388
##
##
## ## L_BLOOD vs COM_SUM
## Warning in cor.test.default(x, y, method = "spearman"): Cannot compute exact
## p-value with ties
##
## Spearman's rank correlation rho
##
## data: x and y
## S = 617243564, p-value = 0.03873
## alternative hypothesis: true rho is not equal to 0
## sample estimates:
## rho
## 0.05209171
##
##
## ## L_BLOOD vs LET_IS
##
## ## ROE vs COM_SUM
## Warning in cor.test.default(x, y, method = "spearman"): Cannot compute exact
## p-value with ties
##
## Spearman's rank correlation rho
##
## data: x and y
## S = 527478223, p-value = 0.0285
## alternative hypothesis: true rho is not equal to 0
## sample estimates:
## rho
## 0.0566115
##
##
## ## ROE vs LET_IS
##
## ## COM_SUM vs LET_IS
